The Diffusion Of Learning Innovation Based On Electronic Learning System (E-Learning)

Adi Bandono, Okol Sri Suharyo, Ali Mashudi


Along with the times, the learning process is no longer focused on a particular education center that we understand so far, such as campuses, schools, courses, or training centers. Learning process activities innovate and are aimed at being more affordable in terms of the use of space and time. The problem in this research is how the learning innovation is based on electronic systems. The purpose of this research is to know the diffusion and some innovations in e-Learning. This study uses a mixed-method, namely a combination of qualitative and quantitative by conducting interviews and questionnaires. The analytical method used is the Borda technique to rank the selected criteria.  The results of the research show that the most influential thing on innovation efforts in the education system, especially in efforts to adopt technology, is the professionalism of teacher educators, adjusting the applicable curriculum model, and increasing the skills and knowledge of teachers.


Diffusion of educational innovation, E-learning, Technology adoption, Borda analysis

Full Text:



Buc, S., & Divjak, B. (2015). Innovation Diffusion Model in Higher Education: Case Study of E-Learning Diffusion. International Conference E-Learning, 205-207.

Dooley, K. E. (1999). Toward a HolisticModel for the Diffusion of Educational Technology: An Integrative Review of Educational Innovation Studies. Educational Technology & Society, 35-45.

Fariyatul, E., & Bandono, A. (2017). The use of value clarification technique-based- picture story media as an alternative media to value education in primary school. Harmonia Journal of art Research and Education, 68-74.

Hussain, I. (2017). Diffusion of Innovation and Technology for National Development: School of Innovation. International Journal of Science and Technology, 420-414.

Ishida., R. (2017). Borda count Method for Fiscal Policy. Policy Research Institute Discussion Paper, 7-17.

Jang, & Tsai. (2012). Reasons for using or not using interactive whiteboard: Perspectives of Taiwanese elementary mathematics and Science teacher. Australian Journal of Educational Technology, 1451-1465.

Jwaifell, M., & Gasaymeh, A.-M. (2013). Using the Diffusion of Innovation Theory to Explain the Degree of English Teachers’ Adoption of Interactive Whiteboards in the Modern Systems School in Jordan: A Case Study. Contemporary Educational Technology, 138-149.

Komalasari, K. (2010). Study of Contextual Learning Innovation in Citizenship Education. Journal of Educational Sciences, 218-224.

Martin, M. (2003). Factors influencing faculty adoption of web-based courses in teacher education programs within the State University of New York. Proquest Didital Dissertations, 21-32.

Mashudi, A., Rahman, A., Bandono, A., & Hasan, S. (2019). STTAL Development Strategy To Produce Human Resources That Acknowledge Technology Facing The Industrial Revolution Era 4.0. INTERNATIONAL JOURNAL OF ASRO-STTAL, 27-33.

Petruzzelli, A. (2010). The Impact of Principal Training in Diffusion of Innovation Theory on Fidelity of Implementation. Seton Hall University Dissertation and Theses, 2-27.

Saediman. (2015). Prioritizing Commodities in Southeast Sulawesi Province of Indonesia Using AHP Based Borda Count Method. . Asian Social Science Journal, 171-179.

Samarawikrema, & Stacey. (2007). Adopting web-based learning and teaching: A case study in higher education. Distance Education jouurnal, 313-333.

Sasaki, M. (2018). Application of diffusion of innovation theory to educational accountability: the case of EFL education in Japan. Sasaki Language Testing in Asia, 1-16.

Scheffler, F., & Logan. (1999). Computer Technology in School: What teachers should know and be able to do. Journal Research on Computing in Education, 305-322.

Shea, Mccall, & A, O. (2006). Adoption of the multimedia educational resources for learning and online teaching (MERLOT) among higher education faculty: Evidence from the state university of New York learning network. Journal of Online Learning andTeaching, 136-156.

Siggh, & Puja, K. (2017). A Study on infrastructure and organizational learning: Rethinking knowledge performances perspective. International Journal of Social Sciences, 61-77.

Smith, K. (2012). Innovation in Education and Teaching International, 173-182.

Tabata, & Johnsrud. (2008). The Impact of faculty attitudes toward technology, distance education, and innovation. Research in Higher Education, 625-646.

Tanja, & Nedimoic. (2017). The role and significance of the game in the early development of preschool children. International Journal of Teaching, Education & Learning, 26-47.

Zayim, Yildirim, & O, S. (2006). Technology adoption of medical faculty in teaching: Differentiating factors in adopter categories. Educational Technology and Society, 213-222.



  • There are currently no refbacks.

Copyright (c) 2021 Adi Bandono, Okol Sri Suharyo

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.